Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Abstract--Input multiplicative and output inverse multiplicative uncertainty characterisations are common in the robust control literature. We present specialised distance measures...
— Deterministic approaches to model validation for robust control are investigated. In common deterministic model validation approaches, a trade-off between disturbances and mode...
Probability intervals are imprecise probability assignments over elementary events. They constitute a very convenient tool to model uncertain information : two common cases are co...
Software models provide independent perspectives onto software systems. Ideally, all models should use the same model element to describe the same part of a system. Practically, m...